Generative AI Engineer

1 week ago

Hyderabad, Telangana, India Brace Infotech Private Ltd Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Role Overview:

We are looking for a highly skilled and innovative
Generative AI Developer
to join our engineering team. This role involves building scalable, cloud-native applications leveraging
Generative AI
technologies,
AWS services
(including
Bedrock
,
Lambda
,
EKS
), and developing APIs using
Python Flask
. The ideal candidate will have a deep understanding of cloud architecture and hands-on experience deploying AI-driven services at scale.

Key Responsibilities:

  • Design, develop, and deploy Generative AI applications using
    Amazon Bedrock
    and foundation models.
  • Build RESTful APIs and backend services using
    Python Flask
    .
  • Implement serverless functions and workflows using
    AWS Lambda
    .
  • Architect and manage scalable cloud solutions using
    AWS Cloud Architecture best practices
    .
  • Containerize applications and manage deployments using
    AWS EKS (Elastic Kubernetes Service)
    .
  • Collaborate with cross-functional teams including data science, DevOps, and product.
  • Integrate and fine-tune foundation models for business-specific use cases.
  • Ensure system security, scalability, and performance in production environments.
  • Participate in code reviews, agile ceremonies, and continuous integration efforts.

Required Skills & Qualifications:

  • 3+ years of professional experience in
    Python
    development.
  • Hands-on experience with
    AWS
    , including
    Lambda
    ,
    EKS
    , and
    Bedrock
    .
  • Strong experience with
    Generative AI
    , including prompt engineering and model integration.
  • Proficiency in
    Flask
    for API development.
  • Deep understanding of
    AWS Cloud Architecture
    and security best practices.
  • Familiarity with containerization tools (Docker) and orchestration using Kubernetes/EKS.
  • Experience working in agile environments with modern DevOps tools and practices.
  • Strong problem-solving skills and ability to work independently.

Preferred Qualifications:

  • Experience with other AWS AI/ML services (e.g., SageMaker, Comprehend).
  • Exposure to CI/CD tools (e.g., CodePipeline, Jenkins, GitHub Actions).
  • Knowledge of infrastructure-as-code (e.g., Terraform, CloudFormation).
  • AWS Certification (e.g., AWS Certified Developer, Solutions Architect) is a plus.

What We Offer:

  • Competitive salary and benefits
  • Opportunities to work on cutting-edge AI/ML projects
  • A collaborative and inclusive team culture
  • Flexible work hours and remote options
  • Career growth and learning opportunities

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